Drones with Embedded AI

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Red Cat and Palladyne AI Partner to Embed Artificial Intelligence into Teal Drones to Enable Autonomous Operation

Red Cat and Palladyne AI partner to embed Artificial Intelligence into Teal drones to enable autonomous operation

Palladyne AI and Red Cat have collaborated to enhance the autonomous capabilities of all Red Cat’s Teal drones using Palladyne AI’s Pilot software.

Palladyne AI is developing an artificial intelligence platform for unmanned systems to enable persistent detection, tracking and classification of objects of interest by synthesising multi-modal sensor fusion data in real-time.

The AI product for mobile systems, known as Palladyne Pilot will facilitate shared situational awareness across multiple drones and autonomous navigation when integrated with drone autopilot systems. Palladyne Pilot is expected to be made available for all Teal drones, including those already in the field.

The artificial intelligence software platform is designed to train and enhance the effectiveness of autonomous, mobile, stationary and dextrous robots. Teal has developed a drone system comprised of two robotic UAVs and related control systems that have earned Blue UAS Certification by the US Department of Defence. The partnership will expand the drone system capabilities, facilitating the creation of a network of collaborating drones and sensors that self-orchestrate to provide superior intelligence, surveillance and reconnaissance capabilities.

“Palladyne AI is enabling cost-effective small drone platforms that incorporate some of the same autonomy capabilities typically only found on large drone platforms costing tens of millions of dollars,” said George Matus, CTO, Red Cat.

“The Palladyne Pilot autonomy software provides our drone systems with general autonomy that enables a high level of adaptability and performance in challenging environments, materially reducing the cognitive load on drone operators and enhancing the operational capabilities and mission effectiveness of our drone platforms,” he concludes.

Jonathan Newell
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